{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 31386 entries, 0 to 31385\n",
      "Data columns (total 12 columns):\n",
      "用户ID      31367 non-null object\n",
      "执飞航班号     31386 non-null object\n",
      "航班日期      31386 non-null datetime64[ns]\n",
      "出发地三字码    31386 non-null object\n",
      "目的地三字码    31386 non-null object\n",
      "出发城市      31386 non-null object\n",
      "目的城市      31386 non-null object\n",
      "评语        30474 non-null object\n",
      "空乘服务      30506 non-null float64\n",
      "机上餐食      30491 non-null float64\n",
      "客舱设施      30475 non-null float64\n",
      "购票        30413 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(4), object(7)\n",
      "memory usage: 3.1+ MB\n"
     ]
    }
   ],
   "source": [
    "#合并数据来源1和来源2\n",
    "import pandas as pd\n",
    "df1=pd.read_excel('D:/xy/flight.xlsx',sheetname='数据来源1')\n",
    "del df1['交通']\n",
    "df2=pd.read_excel('D:/xy/flight.xlsx',sheetname='数据来源2',parse_cols=[0,1,2,3,4,5,6,8,32,34,35,38])\n",
    "df2.columns=['用户ID','执飞航班号','航班日期','出发地三字码','目的地三字码','出发城市','目的城市','评语','空乘服务','机上餐食','客舱设施','购票']\n",
    "df=df1.merge(df2,how='outer')\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#处理异常值并填充空缺值\n",
    "df=df.replace(0,1)\n",
    "df[['空乘服务','机上餐食','客舱设施','购票']]=df[['空乘服务','机上餐食','客舱设施','购票']].fillna(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#清洗刷票数据并保存df\n",
    "index1=df[['用户ID','航班日期','出发地三字码']][df[['用户ID','航班日期','出发地三字码']].duplicated(keep=False)].index\n",
    "index2=df[['用户ID','航班日期','目的地三字码']][df[['用户ID','航班日期','目的地三字码']].duplicated(keep=False)].index\n",
    "index3=df[['用户ID','航班日期','执飞航班号']][df[['用户ID','航班日期','执飞航班号']].duplicated(keep=False)].index\n",
    "index=list(set(list(index1)+list(index2)+list(index3)))\n",
    "df=df.drop(index,axis=0)\n",
    "df['航空公司']=list(map(lambda s:s[:2],df['执飞航班号']))\n",
    "df.to_excel('df.xlsx',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#清洗数据来源3并保存为df3\n",
    "df3=pd.read_excel('D:/xy/flight.xlsx',sheetname='数据来源3')\n",
    "df3.columns=['航班日期','执飞航班号','出发地','目的地','出发地三字码','目的地三字码','总分','空乘服务','机上餐食','航班起降','航班座舱','机上娱乐','评语']\n",
    "import numpy as np\n",
    "df3=df3.drop(set(list(np.where(df3==0)[0])))#清除评分含0的记录\n",
    "import datetime\n",
    "df3['航班日期']=list(map(lambda t:datetime.datetime.strptime(t,'%Y-%m-%d').date(),df3['航班日期']))#原始数据航班日期非date，处理成date\n",
    "df3['航空公司']=list(map(lambda s:s[:2],df3['执飞航班号']))\n",
    "df3.to_excel('df3.xlsx',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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ESXskjQJGAfTaoC0TZ7/aVJhmtiocOaXaEViFlTthPjK3/TNwOPB+UztExE71t+Wb/oak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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ce193cfa90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#对df3各航班各项得分做均值分析\n",
    "mean_df3=df3.groupby('航空公司').mean()\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif']=['SimHei']\n",
    "plt.rcParams['axes.unicode_minus']=False\n",
    "mean_df3.T.plot(kind='barh',alpha=0.8,xlim=([0,6]),title='各航空公司在各项得分均值比较')\n",
    "plt.legend(loc='best')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Z34tmfi+a+b1oVtN70WUnzM3MbNXpypWHmbVC0nqS9pHUv+y+WOfk8FgDSBok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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ce111d83c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#整体各项服务得分均值比较\n",
    "df3.mean().plot(kind='barh',alpha=0.8,xlim=([0,5]),title='各项得分均值比较')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n",
      "Loading model from cache C:\\Users\\xy\\AppData\\Local\\Temp\\jieba.cache\n",
      "Loading model cost 0.735 seconds.\n",
      "Prefix dict has been built succesfully.\n"
     ]
    }
   ],
   "source": [
    "#提取3U的正负面评价文本并进行分词\n",
    "df3['评语'][(df3['航空公司']=='MF') & (df3['总分']<3)].to_csv('neg_3U.txt',encoding='utf-8',index=False)\n",
    "df3['评语'][(df3['航空公司']=='MF') & (df3['总分']>3)].to_csv('pos_3U.txt',encoding='utf-8',index=False)\n",
    "neg_3U=pd.read_csv('neg_3U.txt',encoding='utf-8',header=None)\n",
    "pos_3U=pd.read_csv('pos_3U.txt',encoding='utf-8',header=None)\n",
    "import jieba\n",
    "mycut=lambda s:' '.join(jieba.cut(s))\n",
    "neg_3U=neg_3U[0].apply(mycut)\n",
    "pos_3U=pos_3U[0].apply(mycut)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/f75YHMY+Qt1GPqZ89JosFfSjkxF99qfev4jNuyN/8S2TVjQcb8PFw01wWJ2o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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ce163c0f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3U负面评价词云\n",
    "from wordcloud import WordCloud\n",
    "pos.to_csv('pos.txt',index=None,encoding='utf-8')\n",
    "neg = open('neg.txt',encoding='utf-8').read()\n",
    "wc = WordCloud( background_color = 'white',    # 设置背景颜色\n",
    "                max_words = 50,            # 设置最大显示的字数\n",
    "                font_path = 'HYQiHei-25JF.ttf',# 设置字体格式，如不设置显示不了中文\n",
    "                max_font_size = 50,            # 设置字体最大值\n",
    "                random_state = 30              # 设置有多少种随机生成状态，即有多少种配色方案\n",
    "                ).generate(neg)\n",
    "plt.imshow(wc)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CJz9yF5zTHvzrf/1pXmni628P4uqvb+HTf/WkqBxnf3EJfnc2uiKVTINlWCTi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\nJxAIhBbg/wF08BDHHqFKaAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ce134d21d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3U正面评价词云\n",
    "from wordcloud import WordCloud\n",
    "pos_3U.to_csv('pos.txt',index=None,encoding='utf-8')\n",
    "pos = open('pos.txt',encoding='utf-8').read()\n",
    "wc = WordCloud( background_color = 'white',    # 设置背景颜色\n",
    "                max_words = 50,            # 设置最大显示的字数\n",
    "                font_path = 'HYQiHei-25JF.ttf',# 设置字体格式，如不设置显示不了中文\n",
    "                max_font_size = 50,            # 设置字体最大值\n",
    "                random_state = 30              # 设置有多少种随机生成状态，即有多少种配色方案\n",
    "                ).generate(pos)\n",
    "plt.imshow(wc)\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:2: ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support regex separators (separators > 1 char and different from '\\s+' are interpreted as regex); you can avoid this warning by specifying engine='python'.\n",
      "  from ipykernel import kernelapp as app\n"
     ]
    }
   ],
   "source": [
    "#去除停用词，机械压缩去词\n",
    "stop=pd.read_csv('stoplist.txt',encoding='utf-8',header=None,sep='tipdm')\n",
    "stop=[' ','']+list(stop[0])\n",
    "neg_3U=neg_3U.apply(lambda s:s.split(' '))\n",
    "neg_3U=neg_3U.apply(lambda x:[i for i in x if i not in stop])#去除停用词\n",
    "neg_3U=neg_3U.apply(lambda y:list(set(y)))#机械压缩去词\n",
    "pos_3U=pos_3U.apply(lambda s:s.split(' '))\n",
    "pos_3U=pos_3U.apply(lambda x:[i for i in x if i not in stop])#去除停用词\n",
    "pos_3U=pos_3U.apply(lambda y:list(set(y)))#机械压缩去词"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\gensim\\utils.py:860: UserWarning: detected Windows; aliasing chunkize to chunkize_serial\n",
      "  warnings.warn(\"detected Windows; aliasing chunkize to chunkize_serial\")\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.019*\"飞机\" + 0.016*\"晚点\" + 0.014*\"小时\" + 0.012*\"延误\" + 0.012*\"服务\" + 0.009*\"差\" + 0.008*\"厦航\" + 0.008*\"坐\" + 0.008*\"航班\" + 0.006*\"太\"\n",
      "0.027*\"晚点\" + 0.023*\"小时\" + 0.019*\"飞机\" + 0.015*\"服务\" + 0.014*\"延误\" + 0.012*\"航班\" + 0.008*\"太\" + 0.008*\"空姐\" + 0.008*\"好\" + 0.008*\"厦航\"\n"
     ]
    }
   ],
   "source": [
    "#利用LDA对3U负面评价提取关键词和主题\n",
    "import gensim as gs\n",
    "neg_dict=gs.corpora.Dictionary(neg_3U)\n",
    "neg_corpus=[neg_dict.doc2bow(i) for i in neg_3U]\n",
    "neg_lda=gs.models.LdaModel(neg_corpus,num_topics=2,id2word=neg_dict)\n",
    "for i in range(2):\n",
    "    print(neg_lda.print_topic(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.050*\"好\" + 0.035*\"厦航\" + 0.019*\"飞机\" + 0.018*\"好好\" + 0.016*\"不错\" + 0.015*\"坐\" + 0.014*\"服务\" + 0.014*\"一直\" + 0.013*\"感觉\" + 0.011*\"喜欢\"\n",
      "0.038*\"不错\" + 0.037*\"飞机\" + 0.023*\"服务\" + 0.023*\"晚点\" + 0.020*\"餐\" + 0.015*\"航班\" + 0.015*\"好\" + 0.013*\"小时\" + 0.012*\"有点\" + 0.012*\"延误\"\n",
      "0.108*\"好\" + 0.083*\"服务\" + 0.058*\"不错\" + 0.045*\"空姐\" + 0.024*\"服务态度\" + 0.023*\"餐饮\" + 0.020*\"挺\" + 0.017*\"舒适\" + 0.014*\"下次\" + 0.013*\"座椅\"\n"
     ]
    }
   ],
   "source": [
    "#利用LDA对3U正面评价提取主题和关键词\n",
    "pos_dict=gs.corpora.Dictionary(pos_3U)\n",
    "pos_corpus=[pos_dict.doc2bow(i) for i in pos_3U]\n",
    "pos_lda=gs.models.LdaModel(pos_corpus,num_topics=3,id2word=pos_dict)\n",
    "for i in range(3):\n",
    "    print(pos_lda.print_topic(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
